wav2vec2-base-timit-demo-colab57 – AI Model by hassnain | AlphaNeural AI

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wav2vec2-base-timit-demo-colab57

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wav2vec2-base-timit-demo-colab57

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7328
Wer: 0.4593

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 60
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.9876	7.04	500	3.1483	1.0
1.4621	14.08	1000	0.6960	0.6037
0.4404	21.13	1500	0.6392	0.5630
0.2499	28.17	2000	0.6738	0.5281
0.1732	35.21	2500	0.6789	0.4952
0.1347	42.25	3000	0.7328	0.4835
0.1044	49.3	3500	0.7258	0.4840
0.0896	56.34	4000	0.7328	0.4593

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3